chore: import upstream snapshot with attribution
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# Durable agent run resume
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This example shows the agent-side counterpart to `examples/flow-durable`: an
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agent run is checkpointed with the same `Checkpoint` interface used by flows,
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then resumed after an interruption without repeating a completed side effect.
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The sample uses an in-memory store to keep repeated local runs deterministic;
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use your service store for process-restart recovery.
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Run it with:
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```sh
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go run ./examples/agent-durable
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```
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The demo model calls `inventory.reserve`, then fails to mimic a process dying
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after the tool call was checkpointed. `micro.AgentPending` finds the unfinished
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run and `micro.AgentResume` continues it from the saved checkpoint. The final
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`tool executions: 1` line is the important bit: the reservation tool was not
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called a second time during resume.
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## When to use this instead of a durable flow
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Use a durable flow when the path is known ahead of time: ordered service calls,
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retries, timers, compensation, and a precise resume stage such as `reserve` or
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`charge`. Use a checkpointed agent run when the path is open-ended and the model
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may choose tools dynamically, but completed tool side effects still must not be
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replayed after a crash or provider failure.
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They compose: keep deterministic business process in `flow-durable`, then hand
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off the judgment-heavy step to a checkpointed agent when the workflow needs
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model-directed tool use. Both use the same `Checkpoint` backend, so inspection
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and recovery can share one run-history store.
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In a service, use the same pattern at startup:
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```go
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pending, _ := micro.AgentPending(ctx, agent)
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for _, run := range pending {
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_, _ = micro.AgentResume(ctx, agent, run.ID)
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}
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```
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`context.Context` cancellation and deadlines are still honored by checkpoint
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loads/saves, model calls, and tool calls. Runs with terminal statuses such as
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`done`, `canceled`, and `expired` are not returned by `AgentPending`.
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